Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data.
Cao Truong TranMengjie ZhangBing XuePeter AndreaePublished in: Australasian Conference on Artificial Intelligence (2018)
Keyphrases
- ensemble learning
- incomplete data
- genetic programming
- generalization ability
- ensemble classifier
- missing values
- incomplete data sets
- weak learners
- ensemble methods
- missing data
- feature selection
- regression problems
- base classifiers
- classification accuracy
- decision trees
- machine learning
- random forest
- fitness function
- support vector machine svm
- data sets
- bayesian networks
- pattern recognition
- image classification
- training set
- classification algorithm
- feature vectors
- support vector machine
- training samples
- learning algorithm
- concept drift
- evolutionary algorithm
- benchmark datasets
- prediction accuracy
- active learning
- machine learning methods
- nearest neighbor
- class labels
- feature space
- support vector
- text classification
- maximum likelihood